A Mixed-Integer Linear Programming (MILP) approach is proposed to optimize the turbine allocation and inter-array offshore cable routing. The two problems are considered with a two steps strategy, ...

This paper proposes a mixed integer linear programming (MILP) formulation for robust state estimation (RSE). By using the exactly linearized measurement equations instead of the original nonlinear ...

Benchmark instances modelling the supply chain of a fictive company producing and selling cell phones and accessories of different types. The instances formulate typical mixed-integer linear ...

A mixed integer linear programming model for a minimum backbone grid is proposed in this paper, which considers the practical application requirements. More importantly, the model can ensure network ...

Linear programming is used to maximize or minimize a linear objective function subject to one or more constraints, while mixed integer programming (MIP) adds one additional condition: that at least ...

Test Assembly Using Mixed-Integer Linear Programming In cognitive diagnosis, the probability of correct answer or the expected vector of item response of knowledge state α c on test length of J in a ...

Solve mixed integer nonlinear programming (MINLP) problems with our exact penalty approach. Convert MINLP to NLP problems with continuous variables for precise solutions. Explore exactness conditions ...